Investigation of density flow in dam reservoirs using a three-dimensional mathematical model including Coriolis effect

Üneş, Fatih

doi:10.1016/j.compfluid.2007.11.004

Cited by 9 publications

(5 citation statements)

References 44 publications

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“…Then, wall jet flow and separations appear only at the side wall of reservoir. In general, if diffuser half-divergence angles (convergence angle of reservoir inlet) of reservoir entrance are between 10 o to 40 o , then the wall attached flow forms at the reservoir entrance (Johnson et al, 1987a(Johnson et al, , 1987b(Johnson et al, , 1988Üneş, 2008a, 2008b. In these types of formations, separations from the one side wall of the reservoir appear which is named wall attached jet flow.…”

Section: Model Results and Evaluations For July (Representing The Summentioning

confidence: 99%

Investigation of seasonal thermal flow in a real dam reservoir using 3-D numerical modeling

Üneş

Varçin

2015

Journal of Hydrology and Hydromechanics

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Abstract:Investigations indicate that correct estimation of seasonal thermal stratification in a dam reservoir is very important for the dam reservoir water quality modeling and water management problems. The main aim of this study is to develop a hydrodynamics model of an actual dam reservoir in three dimensions for simulating a real dam reservoir flows for different seasons. The model is developed using nonlinear and unsteady continuity, momentum, energy and k-ε turbulence model equations. In order to include the Coriolis force effect on the flow in a dam reservoir, Coriolis force parameter is also added the model equations. Those equations are constructed using actual dimensions, shape, boundary and initial conditions of the dam and reservoir. Temperature profiles and flow visualizations are used to evaluate flow conditions in the reservoir. Reservoir flow's process and parameters are determined all over the reservoir. The mathematical model developed is capable of simulating the flow and thermal characteristics of the reservoir system for seasonal heat exchanges. Model simulations results obtained are compared with field measurements obtained from gauging stations for flows in different seasons. The results show a good agreement with the field measurements.

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Section: Model Results and Evaluations For July (Representing The Summentioning

confidence: 99%

Investigation of seasonal thermal flow in a real dam reservoir using 3-D numerical modeling

Üneş

Varçin

2015

Journal of Hydrology and Hydromechanics

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“…In reality, reservoir volumes are very big and long, and therefore, the water in dam reservoirs is also subject to Coriolis forces. Although the Coriolis effect is smaller than other factors or forces, if the dam reservoir is considered as a whole, then the Coriolis effect can be used in the model [18,20,21].…”

Section: Mathematical Modelmentioning

confidence: 99%

“…After the reservoir is sketched, the present mathematical model is prepared by FLUENT with the appropriate boundary and initial conditions. When flow fields consisting of the dam reservoir have complex currents, such as density flow or circulation flow, two types of problems arise since the density reservoir flows are nonlinear and velocity field-pressure field interdependent [20]. These problems are solved using the SIMPLE procedure of Patankar and Spalding [48].…”

Section: Numerical Processmentioning

confidence: 99%

“…In the present mathematical model, application of the Boussinesq approximation and reduced pressure approach are considered as another simplification. If all the previously mentioned processes are applied, then the governing equations of the mathematical model can be written in two dimensions along the horizontal and vertical axes in Cartesian coordinates [18,20,21]. The mathematical model consists of the following equations including the continuity, momentum, energy and the turbulence model equations.…”

Section: Mathematical Model Equationsmentioning

confidence: 99%

“…Akiyama and Stefan [6] provided a table summarizing the various formulas for plunge depth prediction. Detailed information about the plunging parameters and model study are available elsewhere in the literature [18].…”

Section: Introductionmentioning

confidence: 99%

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Prediction of Density Flow Plunging Depth in Dam Reservoirs: An Artificial Neural Network Approach

Üneş¹

2010

CLEAN Soil Air Water

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Experimental findings and observations indicate that plunging flow is related to the formation of bed load deposition in dam reservoirs. The sediment delta begins to form in the plunging region where the inflow river water meets the ambient reservoir water. Correct estimation of dam reservoir flow, plunging point, and plunging depth is crucial for dam reservoir sedimentation and water quality issues. In this study, artificial neural network (ANN), multi-linear regression (MLR), and two-dimensional hydrodynamic model approaches are used for modeling the plunging point and depth. A multi layer perceptron (MLP) is used as the ANN structure. A two-dimensional model is adapted to simulate density plunging flow through a reservoir with a sloping bottom. In the model, nonlinear and unsteady continuity, momentum, energy, and k -e turbulence equations are formulated in the Cartesian coordinates. Density flow parameters such as velocity, plunging points, and plunging depths are determined from the simulation and model results, and these are compared with previous experimental and model works. The results show that the ANN model forecasts are much closer to the experimental data than the MLR and mathematical model forecasts.

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3-D Numerical Simulation of a Real Dam Reservoir: Thermal Stratified Flow

Üneş

Demirci

Varçin

2015

Advances in Hydroinformatics

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Investigation of density flow in dam reservoirs using a three-dimensional mathematical model including Coriolis effect

Cited by 9 publications

References 44 publications

Investigation of seasonal thermal flow in a real dam reservoir using 3-D numerical modeling

Investigation of seasonal thermal flow in a real dam reservoir using 3-D numerical modeling

Prediction of Density Flow Plunging Depth in Dam Reservoirs: An Artificial Neural Network Approach

3-D Numerical Simulation of a Real Dam Reservoir: Thermal Stratified Flow

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